Olteanu, Alexandra

Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries

Olteanu, A., Castillo, C., Diaz, F., & Kiciman, E. (2016) · Frontiers in Big Data

Ethics and Social Impacts of AIBig Data Technologies and Applications

Cited by 763

Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries

Olteanu, A., Castillo, C., Diaz, F., & Kıcıman, E. (2019) · Frontiers in Big Data

Ethics and Social Impacts of AIBig Data Technologies and Applications

Cited by 763

CrisisLex: A Lexicon for Collecting and Filtering Microblogged Communications in Crises

Olteanu, A., Castillo, C., Diaz, F., & Vieweg, S. (2014) · Proceedings of the International AAAI Conference on Web and Social Media

Public Relations and Crisis CommunicationDisaster Management and Resilience

Cited by 397

Stereotyping Norwegian Salmon: An Inventory of Pitfalls in Fairness Benchmark Datasets

Blodgett, S. L., Lopez, G., Olteanu, A., Sim, R., & Wallach, H. (2021) · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)

Ethics and Social Impacts of AITopic Modeling

Cited by 147

Measuring algorithmically infused societies

Wagner, C., Strohmaier, M., Olteanu, A., Kıcıman, E., Contractor, N., & Eliassi-Rad, T. (2021) · Nature

Ethics and Social Impacts of AIComputational and Text Analysis Methods

Cited by 144

How Different Groups Prioritize Ethical Values for Responsible AI

Jakesch, M., Buçinca, Z., Amershi, S., & Olteanu, A. (2022) · 2022 ACM Conference on Fairness Accountability and Transparency

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 116

Characterizing the Demographics Behind the #BlackLivesMatter Movement

Olteanu, A., Weber, I., & Gatica-Perez, D. (2015) · arXiv

Social Media and PoliticsEthics and Social Impacts of AI

Cited by 45

“I Can’t Reply with That”: Characterizing Problematic Email Reply Suggestions

Robertson, R. E., Olteanu, A., Diaz, F., Shokouhi, M., & Bailey, P. (2021) · Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

Digital Communication and LanguagePersonal Information Management and User Behavior

Cited by 43

'It was 80% me, 20% AI': Seeking Authenticity in Co-Writing with Large Language Models

Hwang, A. H.-C., Liao, Q. V., Blodgett, S. L., Olteanu, A., & Trischler, A. (2025) · Proceedings of the ACM on Human-Computer Interaction

Ethics and Social Impacts of AIArt, Technology, and Culture

Cited by 42

Towards robust and scalable peer-to-peer social networks

Olteanu, A., & Pierre, G. (2012) · Proceedings of the Fifth Workshop on Social Network Systems

Peer-to-Peer Network TechnologiesComplex Network Analysis Techniques

Cited by 19

FairPrism: Evaluating Fairness-Related Harms in Text Generation

Fleisig, E., Amstutz, A., Atalla, C., Blodgett, S. L., Daumé III, H., Olteanu, A., Sheng, E., Vann, D., & Wallach, H. (2023) · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Ethics and Social Impacts of AIHate Speech and Cyberbullying Detection

Cited by 14

Position: Evaluating Generative AI Systems Is a Social Science Measurement Challenge

Wallach, H., Desai, M., Cooper, A. F., Wang, A., Atalla, C., Barocas, S., Blodgett, S. L., Chouldechova, A., Corvi, E., Dow, P. A., et al. (2025) · arXiv

Ethics and Social Impacts of AIArtificial Intelligence Applications

Cited by 1